Digital Image Bandwidth Compression Using Non-Parametric Predictive Filters
G. Eichmann, M. Stojancic, L. R. Chen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
A new computational technique for digital image bandwidth compression is presented. This technique is based upon the truncation of an observed image. The original image is predicted using a non-parametric approach. This predictor is a random grain allocation (RGA) algorithm, an algorithm that is similar to a Monte Carlo method. Using the RGA algorithm and with an appropriate block partitioning of the original image, significant image bit reduction can be achieved. Several image bandwidth compression examples are presented.